Pilot and feasibility trials in surgery are incompletely reported according to the CONSORT checklist: a meta-research study
Bibliographic record
Abstract
OBJECTIVES: Given the key role that pilot and feasibility (PAF) trials play in addressing the challenges of surgical trials, adequate reporting completeness is essential. Our aim was to assess completeness of reporting and evaluate if the items of the Consolidated Standards of Reporting Trials (CONSORT) extension for PAF trials have been reported in surgical PAF trials. STUDY DESIGN: This is a metaresearch study reported according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Studies were included if they were pilot or feasibility randomized trials evaluating a surgical intervention. The primary outcome was overall adherence to the CONSORT statement extension to randomized PAF trials checklist. A Poisson regression was performed to explore the association between research factors and reporting completeness. SETTING: MEDLINE, Embase, and Cochrane Central Register of Controlled Trials were searched from January 1-December 31, 2011 and 2021. RESULTS: After screening 1991 citations, 38 studies from 2011 to 34 studies from 2021 were included. The mean CONSORT reporting score across all included studies was 21.5 (standard deviation 6.3). After excluding items that were not applicable to all studies, a mean of 20.1 (standard deviation 6.1) of 34 items (0.59) were reported. Studies published in 2021 (vs 2011) did not have a greater number of CONSORT items reported (incidence rate ratio [IRR] 1.01, 95% confidence interval [CI] 0.89-1.15). Studies registered in a clinical trial registry (IRR 1.29, 95% CI 1.12-1.48) and randomizing more than 50 patients (IRR 1.16, 95% CI 1.04-1.30) were associated with more CONSORT items reported. CONCLUSION: The reporting completeness of surgical PAF trials is poor and has not improved after the publication of the CONSORT extension.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.327 | 0.581 |
| Meta-epidemiology (narrow) | 0.004 | 0.004 |
| Meta-epidemiology (broad) | 0.019 | 0.039 |
| Bibliometrics | 0.005 | 0.007 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.008 | 0.008 |
| Open science | 0.004 | 0.005 |
| Research integrity | 0.007 | 0.006 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".